Scientific Frontiers
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
Governance
Organization & Structure
Strategic Advisors Board
Ecosystem
Academic Consortium
Industry Alliances
Public Sector Partners
Global Research Network
Knowledge Hub
Media
Symposia & Open Labs
Seminars
Newsletter
About NAIRL
Mission & Vision
Leadership
Team
Facilities & Contact
EN
·
KO
Join us
EN
·
KO
Join us
esc
Beyond Scaling Laws
Physical AI & Robotic Foundation Models
High-dimensional Generative Foundation Models
Research Archive
선도 연구 주제
전체 논문
NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.
←
연구 아카이브로 돌아가기
All
174
Beyond Scaling Laws
87
Physical AI & Robotics
60
High-dimensional Generative Models
27
전체 논문
논문 174개
# High-dimensional Generative Foundation Models
SFUOD: Source-Free Unknown Object Detection
Keon-Hee Park, Seun-An Choe, Gyeong-Moon Park ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar
SeungJun Moon, Hah Min Lew, Seungeun Lee, Ji-Su Kang, Gyeong-Moon Park ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement
Habin Lim, Yeongseob Won, Juwon Seo, Gyeong-Moon Park ·
ICCV
· 2025
# High-dimensional Generative Foundation Models
Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech
Taesoo Kim, Jinju Kim, Dongchan Kim, Jong Hwan Ko, Gyeong-Moon Park ·
ICML
· 2025
# High-dimensional Generative Foundation Models
When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series
Min-Yeong Park, Won-Jeong Lee, Seong Tae Kim, Gyeong-Moon Park ·
ICML
· 2025
# High-dimensional Generative Foundation Models
Optimized Minimal 3D Gaussian Splatting
Joo Chan Lee, Jong Hwan Ko, Eunbyung Park ·
NeurIPS
· 2025
# High-dimensional Generative Foundation Models
SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation
Jongmin Lee, Meiqi Sun, Pieter Abbeel ·
ICLR
· 2025
# High-dimensional Generative Foundation Models
CoPL: Collaborative Preference Learning for Personalizing LLMs
Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim ·
EMNLP
· 2025
# High-dimensional Generative Foundation Models
GeoDANO: Geometric VLM with Domain Agnostic Vision Encoder
Seunghyuk Cho, Zhenyue Qin, Yang Liu, Youngbin Choi, Seungbeom Lee, Dongwoo Kim ·
EMNLP
· 2025
# Foundation Model for Robotics
A Unified Framework for Motion Reasoning and Generation in Human Interaction
Jeongeun Park, Sungjoon Choi, Sangdoo Yun ·
ICCV
· 2025
← Prev
1
2
3
4
…
18
Next →